Dominic Perachi

P Altoona Curve

Age 26 LHP 6'3" / 195 lbs AA peak 0.2 · 2028

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	26	18	115	3.53	2.54	25.1%	8.7%	—	K 19.7% · BB 9.8% · FIP 3.33
2025	24	MIX4 levels	13	12	51	3.38	3.32	18.8%	10.1%	—	K 11.6% · BB 10.7% · FIP 4.44
2026	25	MIX3 levels	11	11	41	5.01	4.72	17.8%	9.8%	—	K 14.3% · BB 11.5% · FIP 4.64
2027PROJ	26	MLBPIT	1	1	1	4.97	4.97	16.0%	10.6%	0.0
2028PROJ38% MLB	27	MLBPIT	2	2	14	4.93	4.94	16.8%	10.6%	0.1

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.1 / P90 0.1, comp-based) · star 0% · didn't stick 97%

CompsMiguel Cienfuegos (age 26) · Brad Mills (age 26) · Jack Snodgrass (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 111119vR 128

ERA4.97

FIP4.97

K%16.0%

BB%10.6%

K-BB%5.4%

Proj IP26

Value2027 · WAR

Runs saved vs league avg · 26 IP

Grades · Contract

Scouting Grades

K†4040

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2023	22	A MLE	Bradenton Marauders	22	18	91	407	96	48	10	82%	4.1	17.5%	13.9%	3.5%	3.3%	4.76	5.19	—
2023	22	A RAW	Bradenton Marauders	22	18	91	407	96	48	10	82%	4.1	23.6%	11.8%	11.8%	2.5%	4.76	4.00	—
2024	23	MIX MLE	2 levels	26	18	115	482	121	42	4	69%	4.4	19.7%	9.8%	9.9%	1.2%	3.53	3.33	—
2024	23	MIX MLE	2 levels	26	18	115	482	121	42	4	69%	4.4	19.7%	9.8%	9.9%	1.2%	3.53	3.33	—
2024	23	MIX RAW	2 levels	26	18	115	482	121	42	4	69%	4.4	25.1%	8.7%	16.4%	0.8%	3.53	2.54	—
2025	24	MIX MLE	4 levels	13	12	51	208	39	21	2	92%	3.9	11.6%	10.7%	0.9%	1.7%	3.38	4.44	—
2025	24	MIX MLE	4 levels	13	12	51	208	39	21	2	92%	3.9	11.6%	10.7%	0.9%	1.7%	3.38	4.44	—
2025	24	MIX RAW	4 levels	13	12	51	208	39	21	2	92%	3.9	18.8%	10.1%	8.7%	1.0%	3.38	3.32	—
2026	25	MIX MLE	3 levels	11	11	41	174	31	17	6	100%	3.8	14.3%	11.5%	2.8%	2.4%	5.01	4.64	—
2026	25	MIX MLE	3 levels	11	11	41	174	31	17	6	100%	3.8	14.3%	11.5%	2.8%	2.4%	5.01	4.64	—
2026	25	MIX RAW	3 levels	11	11	41	174	31	17	6	100%	3.8	17.8%	9.8%	8.0%	3.4%	5.01	4.72	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	PIT	1	1	1	4	1	0	0	100%	1.0	16.0%	10.6%	5.4%	2.7%	4.97	4.97	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	PIT	6	6	37	156	26	16	4	100%	6.1	16.8%	10.6%	6.2%	2.8%	4.93	4.94	+0.2
2028	27	MLB CTX	PIT	2	2	14	59	10	6	2	100%	7.0	16.8%	10.6%	6.2%	2.8%	4.93	4.94	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	14	59	10	6	2	100%	6.9	16.8%	10.6%	6.2%	2.8%	4.93	4.56	+0.1
/ 200 IP	—	RAW		33	33	200	844	144	87	29	100%	6.0	16.8%	10.6%	6.2%	2.8%	4.93	4.56	+1.9
Career	—	MLE		72	59	297	1271	215	146	27	82%	4.1	16.9%	11.5%	5.4%	2.1%	4.09	4.29	+0.2
/ 200 IP	—	MLE		48	40	200	855	144	98	18	82%	4.1	16.9%	11.5%	5.4%	2.1%	4.09	4.29	+1.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAAltoona Curve · 37 IPFIP 4.01 → 4.64 (+0.63)K% 17.6% → 14.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.65%	—	×0.810	14.29%
BB% (unintentional) /BF	10.46%	—	×1.100	11.50%
HR / BF /BF	1.96%	÷1.000	×1.200	2.35%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 4.01 → 4.64, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAAltoona Curve · 35 IPFIP 3.84 → 4.44 (+0.60)K% 14.3% → 11.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.29%	—	×0.810	11.57%
BB% (unintentional) /BF	9.74%	—	×1.100	10.71%
HR / BF /BF	1.30%	÷0.891	×1.200	1.75%

Result: FIP 3.84 → 4.44, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 A+Greensboro Grasshoppers · 8 IPFIP 2.20 → 2.75 (+0.55)K% 21.4% → 16.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.43%	—	×0.770	16.50%
BB% (unintentional) /BF	7.14%	—	×1.150	8.21%
HR / BF /BF	0.00%	÷1.048	×1.250	0.00%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 110).

Result: FIP 2.20 → 2.75, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 A+Greensboro Grasshoppers · 74 IPFIP 1.56 → 2.23 (+0.67)K% 28.2% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.22%	—	×0.770	21.73%
BB% (unintentional) /BF	6.62%	—	×1.150	7.61%
HR / BF /BF	0.00%	÷1.106	×1.250	0.00%

Result: FIP 1.56 → 2.23, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAAltoona Curve · 41 IPFIP 3.99 → 4.94 (+0.95)K% 20.5% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.51%	—	×0.810	16.62%
BB% (unintentional) /BF	11.79%	—	×1.100	12.97%
HR / BF /BF	2.05%	÷0.844	×1.200	2.92%

Result: FIP 3.99 → 4.94, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ABradenton Marauders · 91 IPFIP 3.95 → 5.19 (+1.24)K% 23.6% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.59%	—	×0.740	17.45%
BB% (unintentional) /BF	11.79%	—	×1.180	13.92%
HR / BF /BF	2.46%	÷0.971	×1.300	3.29%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 94).

Result: FIP 3.95 → 5.19, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Dominic Perachi (OGILVIE)	—	—	4.97	16.0%	10.6%	2.7%	—	4.94	16.8%	6.2%	37	-0.03	—	—	—
Miguel Cienfuegos L 2023 · 5.12 FIP	26	SP	5.12	13.6%	10.5%	3.4%	.257	4.54	14.3%	5.8%	242	-0.58	2.95	313	82
Brad Mills L 2011 · 5.37 FIP	26	SP-	5.37	19.8%	12.1%	4.4%	.328	5.61	18.8%	7.9%	21	+0.24	4.22	243	81
Jack Snodgrass L 2015 · 4.66 FIP	27	SP-	4.66	12.6%	10.7%	2.3%	.278	5.01	15.7%	5.6%	45	+0.35	4.66	118	77
Matt Walker L 2023 · 4.73 FIP	25	SP-	4.73	12.7%	10.0%	2.6%	.333	—	—	—	—	—	4.21	156	76
Brian Tallet L 2003 · 4.65 FIP	25	SP-	4.65	10.3%	9.2%	2.3%	.309	4.43	16.2%	4.4%	54	-0.22	2.59	443	76
Josh Outman L 2011 · 4.03 FIP	26	SP-	4.03	13.8%	9.1%	1.7%	.302	3.80	21.8%	11.8%	123	-0.23	2.95	380	75
Erik Rivera L 2024 · 5.71 FIP	23	SP-	5.71	19.0%	14.6%	4.3%	.255	4.74	23.9%	6.3%	106	-0.97	4.42	141	75
Hung-Chih Kuo L 2007 · 3.91 FIP	26	SP-	3.91	19.3%	10.0%	2.1%	.333	2.04	29.8%	22.7%	170	-1.87	1.63	287	73
Houston Harding L 2024 · 4.54 FIP	26	SP-	4.54	16.5%	11.2%	2.6%	.268	5.19	12.0%	0.5%	61	+0.65	3.41	239	73
Hayden Wynja L 2024 · 4.79 FIP	25	SP-	4.79	18.0%	10.5%	3.4%	.274	—	—	—	—	—	4.74	154	72
Eric DuBose L 2003 · 3.92 FIP	27	SP-	3.92	14.4%	7.5%	2.0%	.233	5.49	13.7%	0.4%	104	+1.57	3.92	178	72
Matt Portland L 2018 · 4.64 FIP	24	SP-	4.64	17.4%	11.0%	2.9%	.364	—	—	—	—	—	3.61	143	72
Jordan Fowler L 2023 · 4.08 FIP	24	SP	4.08	13.2%	7.9%	2.0%	.318	—	—	—	—	—	4.08	124	71
David Purcey L 2008 · 4.39 FIP	26	SP	4.39	20.1%	10.0%	3.1%	.301	4.39	17.9%	5.0%	116	-0.00	3.60	206	70
Justin Marks L 2015 · 4.60 FIP	27	SP-	4.60	15.4%	10.5%	2.7%	.323	3.88	19.0%	9.1%	216	-0.72	3.83	324	70
Chipper Smith L 2015 · 3.81 FIP	25	SP-	3.81	15.6%	9.5%	1.5%	.321	—	—	—	—	—	3.81	109	69
Dan Serafini L 2000 · 5.27 FIP	26	SP-	5.27	11.7%	9.0%	3.7%	.300	5.44	9.2%	0.0%	30	+0.17	3.71	259	69
Rodney Boone L 2024 · 4.56 FIP	24	SP-	4.56	18.1%	9.8%	3.2%	.221	3.64	18.5%	10.8%	78	-0.92	3.64	311	69
Alejandro Astorga L 2015 · 4.35 FIP	28	SP	4.35	11.5%	10.2%	1.7%	.283	3.87	14.7%	6.1%	220	-0.48	3.72	311	69
Grant Watson L 2017 · 4.70 FIP	24	SP-	4.70	16.4%	10.3%	3.0%	.344	—	—	—	—	—	2.59	180	69

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.3	32	16.5%	10.6%	1.07	4.95
Tom Martin ('07)	1.6	53	15.8%	10.1%	1.02	4.92
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Mike Munoz ('89-'00, 1 WAR*)	1.8	46	17.6%*	10.2%*	0.93*	4.46*